Forward Deployed Strategist

About Lazer

Who you are

• Consulting-trained with a technical lean; at least 3 years in client-facing consulting, strategy, product, or project management, owning projects end to end.
• Technology, data, or AI practice experience at an MBB, Big Four, or equivalent firm is ideal; forward-deployed or AI startup experience is a strong plus.
• Use LLMs, agents, and AI workflow tools in daily work and understand where they are effective and where they fail.
• Explain AI concepts to executives, skeptical end users, and engineers, and help people change how they work.
• Structure ambiguous problems, reconcile stakeholder needs, and communicate recommendations in writing and presentations.
• Build rapport with clients and advise stakeholders at different levels; account expansion experience is helpful but not required.
• Understand software, integrations, and data well enough to ask informed questions and translate between technical and customer teams; coding is not required.
• Comfortably create structure and move forward on first-of-a-kind problems without a complete specification.

What you will do

• Embed with enterprise customers on behalf of AI companies and own the path from signed contract to measurable value.
• Lead discovery, map organizations, identify valuable AI use cases, and define success.
• Translate customer requests into clear, prioritized engineering requirements with business context.
• Create project plans, manage timelines, dependencies, and risks, and keep leaders aligned through summaries, presentations, and roadmaps.
• Run workshops, office hours, and hands-on sessions that help non-technical teams build AI workflows; coach them on delegation, task breakdown, and output review.
• Build role-specific curricula, guides, and playbooks; track usage and outcomes and surface adoption blockers.
• Turn early wins into broader rollouts and new scope, and share field insights with partner product teams and Lazer.

Nice to have

• Ability to read code or build simple prototypes, automations, or integrations.
• Experience at an AI company or deploying enterprise AI products at scale, such as assistants, agent builders, enterprise search, or copilots.
• Experience using Claude, ChatGPT, Glean, or similar tools in a work setting.
• Software-company product management experience.
• Background in enablement, instructional design, or change management for large, mixed-skill audiences.
• Familiarity with advanced AI concepts such as RAG.

Workplace

• The company describes itself as remote-first, with employees worldwide.